28 July 2005

 

Mail-Filters Continues to Lead the Way in the Anti-Spam Industry: Users of Mail-Filters' Anti-Spam Technology Praise its Low False Positive Rates

Now That Most Anti-Spam Filters Are Able to Catch More Than 95% Spam, Users Recognize That False Positives Have Become Their Real Problem Mail-Filters.com, Inc., the global leader in OEM anti-spam solutions, provides technology for its OEM partners that filters billions of messages a day in more than 100 countries and 30 languages. Where most anti-spam technologies have focused on achieving higher catch-rates with apparent disregard for false-positive rates, Mail-Filters has achieved industry leading catch-rate with nearly no false-positives. Mail-Filters' technology is consistently praised by both the industry and its users for its low false positive rates as well as its ability to stop spam and phishing messages. Comments such as the following are typical: -- "We got our first false positive last week, after some 10M messages processed, which means that we have an extremely high efficiency." -- "I have yet to find a 'false positive' from my Premium (Mail-Filters) spam trap which accounts for about 98% of all our caught spam." -- "We have not received a single reported false positive in the three month period the program has been running." Mail-Filters combines two proprietary weapons to catch both spam and phishing messages: the Bullet Signature Database created and maintained by both technology and human editors, and the STAR Engine that detects spammer tricks. This approach allows the filter to catch new types of spam, including phishing, embedded content, HTML, and foreign language spam. The result is a catch rate of more than 95% with less than 1 in 1,000,000 false positives. "The Mail-Filters technology was designed four years ago with the problem of false positives high on our list of system requirements," says Ben Westbrook, CEO of Mail-Filters. "Early in the design phase it became apparent that open source solutions and those relying on statistical analysis cannot catch spam and avoid false positives -- at the same time -- they have to trade off one for the other." Mr. Westbrook continued: "To avoid this problem, and building on extensive experience designing anti-virus filters, we chose to base our anti-spam filter on signatures written and maintained by human editors. As a result, unlike most filters that are considered `acceptable' in comparison tests if they have a false positive rate of 0.1%, or 1 in 1,000 messages, we have never had to accept anything less than 1 false positive in 100,000 messages. In actual usage, as you can see from these quotes, we consistently achieve better than 1 in 1,000,000."

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